package ds_industry_2025.ds.ds_01.T2

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._

import java.text.SimpleDateFormat
import java.util.Calendar

/*
 6、将ods库中order_detail表昨天的分区（子任务一中生成的分区）数据抽取到dwd库中fact_order_detail的动态分区表，分区字段
 为etl_date，类型为String，取create_time值并将格式转换为yyyyMMdd，并添加dwd_insert_user、dwd_insert_time、
 dwd_modify_user、dwd_modify_time四列，其中dwd_insert_user、dwd_modify_user均填写“user1”，dwd_insert_time、
 dwd_modify_time均填写当前操作时间，并进行数据类型转换。使用hive cli执行show partitions dwd.fact_order_detail命令，
 将结果截图粘贴至客户端桌面【Release\任务B提交结果.docx】中对应的任务序号下。
 */
object t6 {
  def main(args: Array[String]): Unit = {

    val spark = SparkSession.builder()
      .master("local[*]")
      .appName("t1")
      .config("hive.exec.dynamic.partition.mode", "nonstrict")
      .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
      .config("spark.sql.extensions", "org.apache.spark.sql.hudi.HoodieSparkSessionExtensionW")
      .enableHiveSupport()
      .getOrCreate()

    val day = Calendar.getInstance()
    val current_time = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(day.getTime)
    day.add(Calendar.DATE, -1)
    val yesterday = new SimpleDateFormat("yyyyMMdd").format(day.getTime)


    spark.table("ods.order_detail")
      .where(col("etl_date") === lit(yesterday))
      .drop("etl_date")
      .withColumn("dwd_insert_user", lit("user1"))
      .withColumn("dwd_insert_time", to_timestamp(lit(current_time)))
      .withColumn("dwd_modify_user", lit("user1"))
      .withColumn("dwd_modify_time", to_timestamp(lit(current_time)))
      .withColumn("etl_date",date_format(col("create_time"),"yyyyMMdd"))
      .write.mode("append")
      .partitionBy("etl_date")
      .saveAsTable("dwd.fact_order_detail")


    spark.close()

  }

}
